Dataset statistics
| Number of variables | 20 |
|---|---|
| Number of observations | 5630 |
| Missing cells | 1856 |
| Missing cells (%) | 1.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 879.8 KiB |
| Average record size in memory | 160.0 B |
Variable types
| Numeric | 11 |
|---|---|
| Categorical | 9 |
CustomerID is highly correlated with HourSpendOnApp | High correlation |
HourSpendOnApp is highly correlated with CustomerID | High correlation |
CouponUsed is highly correlated with OrderCount | High correlation |
OrderCount is highly correlated with CouponUsed | High correlation |
CustomerID is highly correlated with HourSpendOnApp | High correlation |
HourSpendOnApp is highly correlated with CustomerID | High correlation |
CouponUsed is highly correlated with OrderCount | High correlation |
OrderCount is highly correlated with CouponUsed | High correlation |
CouponUsed is highly correlated with OrderCount | High correlation |
OrderCount is highly correlated with CouponUsed | High correlation |
CustomerID is highly correlated with HourSpendOnApp and 3 other fields | High correlation |
PreferredLoginDevice is highly correlated with PreferedOrderCat and 1 other fields | High correlation |
CityTier is highly correlated with PreferredPaymentMode | High correlation |
PreferredPaymentMode is highly correlated with CityTier | High correlation |
HourSpendOnApp is highly correlated with CustomerID and 1 other fields | High correlation |
NumberOfDeviceRegistered is highly correlated with CustomerID and 1 other fields | High correlation |
PreferedOrderCat is highly correlated with PreferredLoginDevice and 1 other fields | High correlation |
SatisfactionScore is highly correlated with CustomerID | High correlation |
MaritalStatus is highly correlated with CustomerID | High correlation |
CouponUsed is highly correlated with OrderCount | High correlation |
OrderCount is highly correlated with CouponUsed | High correlation |
CashbackAmount is highly correlated with PreferredLoginDevice and 1 other fields | High correlation |
Tenure has 264 (4.7%) missing values | Missing |
WarehouseToHome has 251 (4.5%) missing values | Missing |
HourSpendOnApp has 255 (4.5%) missing values | Missing |
OrderAmountHikeFromlastYear has 265 (4.7%) missing values | Missing |
CouponUsed has 256 (4.5%) missing values | Missing |
OrderCount has 258 (4.6%) missing values | Missing |
DaySinceLastOrder has 307 (5.5%) missing values | Missing |
CustomerID is uniformly distributed | Uniform |
CustomerID has unique values | Unique |
Tenure has 508 (9.0%) zeros | Zeros |
CouponUsed has 1030 (18.3%) zeros | Zeros |
DaySinceLastOrder has 496 (8.8%) zeros | Zeros |
Reproduction
| Analysis started | 2022-01-27 11:34:33.857593 |
|---|---|
| Analysis finished | 2022-01-27 11:34:53.296807 |
| Duration | 19.44 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 5630 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 52815.5 |
| Minimum | 50001 |
|---|---|
| Maximum | 55630 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 50001 |
|---|---|
| 5-th percentile | 50282.45 |
| Q1 | 51408.25 |
| median | 52815.5 |
| Q3 | 54222.75 |
| 95-th percentile | 55348.55 |
| Maximum | 55630 |
| Range | 5629 |
| Interquartile range (IQR) | 2814.5 |
Descriptive statistics
| Standard deviation | 1625.385339 |
|---|---|
| Coefficient of variation (CV) | 0.03077477897 |
| Kurtosis | -1.2 |
| Mean | 52815.5 |
| Median Absolute Deviation (MAD) | 1407.5 |
| Skewness | 0 |
| Sum | 297351265 |
| Variance | 2641877.5 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 50001 | 1 | < 0.1% |
| 53751 | 1 | < 0.1% |
| 53759 | 1 | < 0.1% |
| 53758 | 1 | < 0.1% |
| 53757 | 1 | < 0.1% |
| 53756 | 1 | < 0.1% |
| 53755 | 1 | < 0.1% |
| 53754 | 1 | < 0.1% |
| 53753 | 1 | < 0.1% |
| 53752 | 1 | < 0.1% |
| Other values (5620) | 5620 |
| Value | Count | Frequency (%) |
| 50001 | 1 | |
| 50002 | 1 | |
| 50003 | 1 | |
| 50004 | 1 | |
| 50005 | 1 | |
| 50006 | 1 | |
| 50007 | 1 | |
| 50008 | 1 | |
| 50009 | 1 | |
| 50010 | 1 |
| Value | Count | Frequency (%) |
| 55630 | 1 | |
| 55629 | 1 | |
| 55628 | 1 | |
| 55627 | 1 | |
| 55626 | 1 | |
| 55625 | 1 | |
| 55624 | 1 | |
| 55623 | 1 | |
| 55622 | 1 | |
| 55621 | 1 |
Churn
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4682 | |
| 1 | 948 | 16.8% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 4682 | |
| 1 | 948 | 16.8% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 36 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 264 |
| Missing (%) | 4.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.18989937 |
| Minimum | 0 |
|---|---|
| Maximum | 61 |
| Zeros | 508 |
| Zeros (%) | 9.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 9 |
| Q3 | 16 |
| 95-th percentile | 27 |
| Maximum | 61 |
| Range | 61 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 8.557240984 |
|---|---|
| Coefficient of variation (CV) | 0.8397767904 |
| Kurtosis | -0.007369469517 |
| Mean | 10.18989937 |
| Median Absolute Deviation (MAD) | 7 |
| Skewness | 0.7365133839 |
| Sum | 54679 |
| Variance | 73.22637326 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=36)
| Value | Count | Frequency (%) |
| 1 | 690 | 12.3% |
| 0 | 508 | 9.0% |
| 8 | 263 | 4.7% |
| 9 | 247 | 4.4% |
| 7 | 221 | 3.9% |
| 10 | 213 | 3.8% |
| 5 | 204 | 3.6% |
| 4 | 203 | 3.6% |
| 3 | 195 | 3.5% |
| 11 | 194 | 3.4% |
| Other values (26) | 2428 | |
| (Missing) | 264 | 4.7% |
| Value | Count | Frequency (%) |
| 0 | 508 | |
| 1 | 690 | |
| 2 | 167 | 3.0% |
| 3 | 195 | 3.5% |
| 4 | 203 | 3.6% |
| 5 | 204 | 3.6% |
| 6 | 183 | 3.3% |
| 7 | 221 | 3.9% |
| 8 | 263 | 4.7% |
| 9 | 247 | 4.4% |
| Value | Count | Frequency (%) |
| 61 | 1 | < 0.1% |
| 60 | 1 | < 0.1% |
| 51 | 1 | < 0.1% |
| 50 | 1 | < 0.1% |
| 31 | 49 | |
| 30 | 66 | |
| 29 | 55 | |
| 28 | 70 | |
| 27 | 66 | |
| 26 | 60 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| Mobile Phone | |
|---|---|
| Computer | |
| Phone |
Length
| Max length | 12 |
|---|---|
| Median length | 8 |
| Mean length | 9.308525755 |
| Min length | 5 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mobile Phone |
|---|---|
| 2nd row | Phone |
| 3rd row | Phone |
| 4th row | Phone |
| 5th row | Phone |
Common Values
| Value | Count | Frequency (%) |
| Mobile Phone | 2765 | |
| Computer | 1634 | |
| Phone | 1231 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| phone | 3996 | |
| mobile | 2765 | |
| computer | 1634 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| 1 | |
|---|---|
| 3 | |
| 2 | 242 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 3 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 3666 | |
| 3 | 1722 | |
| 2 | 242 | 4.3% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 3666 | |
| 3 | 1722 | |
| 2 | 242 | 4.3% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 34 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 251 |
| Missing (%) | 4.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.63989589 |
| Minimum | 5 |
|---|---|
| Maximum | 127 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 5 |
|---|---|
| 5-th percentile | 6 |
| Q1 | 9 |
| median | 14 |
| Q3 | 20 |
| 95-th percentile | 33 |
| Maximum | 127 |
| Range | 122 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 8.531475187 |
|---|---|
| Coefficient of variation (CV) | 0.545494372 |
| Kurtosis | 9.986930421 |
| Mean | 15.63989589 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 1.619153668 |
| Sum | 84127 |
| Variance | 72.78606886 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=34)
| Value | Count | Frequency (%) |
| 9 | 559 | 9.9% |
| 8 | 444 | 7.9% |
| 7 | 389 | 6.9% |
| 16 | 322 | 5.7% |
| 14 | 299 | 5.3% |
| 6 | 295 | 5.2% |
| 15 | 288 | 5.1% |
| 10 | 274 | 4.9% |
| 13 | 249 | 4.4% |
| 11 | 233 | 4.1% |
| Other values (24) | 2027 | |
| (Missing) | 251 | 4.5% |
| Value | Count | Frequency (%) |
| 5 | 8 | 0.1% |
| 6 | 295 | |
| 7 | 389 | |
| 8 | 444 | |
| 9 | 559 | |
| 10 | 274 | |
| 11 | 233 | |
| 12 | 221 | 3.9% |
| 13 | 249 | |
| 14 | 299 |
| Value | Count | Frequency (%) |
| 127 | 1 | < 0.1% |
| 126 | 1 | < 0.1% |
| 36 | 51 | |
| 35 | 93 | |
| 34 | 63 | |
| 33 | 67 | |
| 32 | 94 | |
| 31 | 101 | |
| 30 | 94 | |
| 29 | 81 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| Debit Card | |
|---|---|
| Credit Card | |
| E wallet | |
| UPI | |
| COD | |
| Other values (2) |
Length
| Max length | 16 |
|---|---|
| Median length | 10 |
| Mean length | 8.85079929 |
| Min length | 2 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Debit Card |
|---|---|
| 2nd row | UPI |
| 3rd row | Debit Card |
| 4th row | Debit Card |
| 5th row | CC |
Common Values
| Value | Count | Frequency (%) |
| Debit Card | 2314 | |
| Credit Card | 1501 | |
| E wallet | 614 | 10.9% |
| UPI | 414 | 7.4% |
| COD | 365 | 6.5% |
| CC | 273 | 4.8% |
| Cash on Delivery | 149 | 2.6% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| card | 3815 | |
| debit | 2314 | |
| credit | 1501 | 14.5% |
| e | 614 | 5.9% |
| wallet | 614 | 5.9% |
| upi | 414 | 4.0% |
| cod | 365 | 3.5% |
| cc | 273 | 2.6% |
| cash | 149 | 1.4% |
| on | 149 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
Gender
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| Male | |
|---|---|
| Female |
Length
| Max length | 6 |
|---|---|
| Median length | 4 |
| Mean length | 4.797868561 |
| Min length | 4 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Female |
|---|---|
| 2nd row | Male |
| 3rd row | Male |
| 4th row | Male |
| 5th row | Male |
Common Values
| Value | Count | Frequency (%) |
| Male | 3384 | |
| Female | 2246 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| male | 3384 | |
| female | 2246 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 255 |
| Missing (%) | 4.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2.931534884 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 3 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 2 |
| median | 3 |
| Q3 | 3 |
| 95-th percentile | 4 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 0.72192585 |
|---|---|
| Coefficient of variation (CV) | 0.2462620704 |
| Kurtosis | -0.667076137 |
| Mean | 2.931534884 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.02721262163 |
| Sum | 15757 |
| Variance | 0.5211769329 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 3 | 2687 | |
| 2 | 1471 | |
| 4 | 1176 | |
| 1 | 35 | 0.6% |
| 0 | 3 | 0.1% |
| 5 | 3 | 0.1% |
| (Missing) | 255 | 4.5% |
| Value | Count | Frequency (%) |
| 0 | 3 | 0.1% |
| 1 | 35 | 0.6% |
| 2 | 1471 | |
| 3 | 2687 | |
| 4 | 1176 | |
| 5 | 3 | 0.1% |
| Value | Count | Frequency (%) |
| 5 | 3 | 0.1% |
| 4 | 1176 | |
| 3 | 2687 | |
| 2 | 1471 | |
| 1 | 35 | 0.6% |
| 0 | 3 | 0.1% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.688987567 |
| Minimum | 1 |
|---|---|
| Maximum | 6 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 3 |
| median | 4 |
| Q3 | 4 |
| 95-th percentile | 5 |
| Maximum | 6 |
| Range | 5 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.023998519 |
|---|---|
| Coefficient of variation (CV) | 0.2775825346 |
| Kurtosis | 0.5828487316 |
| Mean | 3.688987567 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.3969686435 |
| Sum | 20769 |
| Variance | 1.048572967 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 4 | 2377 | |
| 3 | 1699 | |
| 5 | 881 | 15.6% |
| 2 | 276 | 4.9% |
| 1 | 235 | 4.2% |
| 6 | 162 | 2.9% |
| Value | Count | Frequency (%) |
| 1 | 235 | 4.2% |
| 2 | 276 | 4.9% |
| 3 | 1699 | |
| 4 | 2377 | |
| 5 | 881 | 15.6% |
| 6 | 162 | 2.9% |
| Value | Count | Frequency (%) |
| 6 | 162 | 2.9% |
| 5 | 881 | 15.6% |
| 4 | 2377 | |
| 3 | 1699 | |
| 2 | 276 | 4.9% |
| 1 | 235 | 4.2% |
| Distinct | 6 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| Laptop & Accessory | |
|---|---|
| Mobile Phone | |
| Fashion | |
| Mobile | |
| Grocery |
Length
| Max length | 18 |
|---|---|
| Median length | 12 |
| Mean length | 11.94351687 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Laptop & Accessory |
|---|---|
| 2nd row | Mobile |
| 3rd row | Mobile |
| 4th row | Laptop & Accessory |
| 5th row | Mobile |
Common Values
| Value | Count | Frequency (%) |
| Laptop & Accessory | 2050 | |
| Mobile Phone | 1271 | |
| Fashion | 826 | |
| Mobile | 809 | 14.4% |
| Grocery | 410 | 7.3% |
| Others | 264 | 4.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| mobile | 2080 | |
| laptop | 2050 | |
| 2050 | ||
| accessory | 2050 | |
| phone | 1271 | |
| fashion | 826 | 7.5% |
| grocery | 410 | 3.7% |
| others | 264 | 2.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 5 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| 3 | |
|---|---|
| 1 | |
| 5 | |
| 4 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 3 |
| 3rd row | 3 |
| 4th row | 5 |
| 5th row | 5 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 1698 | |
| 1 | 1164 | |
| 5 | 1108 | |
| 4 | 1074 | |
| 2 | 586 | 10.4% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 1698 | |
| 1 | 1164 | |
| 5 | 1108 | |
| 4 | 1074 | |
| 2 | 586 | 10.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| Married | |
|---|---|
| Single | |
| Divorced |
Length
| Max length | 8 |
|---|---|
| Median length | 7 |
| Mean length | 6.831616341 |
| Min length | 6 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Single |
|---|---|
| 2nd row | Single |
| 3rd row | Single |
| 4th row | Single |
| 5th row | Single |
Common Values
| Value | Count | Frequency (%) |
| Married | 2986 | |
| Single | 1796 | |
| Divorced | 848 | 15.1% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| married | 2986 | |
| single | 1796 | |
| divorced | 848 | 15.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
NumberOfAddress
Real number (ℝ≥0)
| Distinct | 15 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.214031972 |
| Minimum | 1 |
|---|---|
| Maximum | 22 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 10 |
| Maximum | 22 |
| Range | 21 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 2.583585513 |
|---|---|
| Coefficient of variation (CV) | 0.6130911037 |
| Kurtosis | 0.9592292732 |
| Mean | 4.214031972 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.088639383 |
| Sum | 23725 |
| Variance | 6.674914101 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=15)
| Value | Count | Frequency (%) |
| 2 | 1369 | |
| 3 | 1278 | |
| 4 | 588 | |
| 5 | 571 | |
| 6 | 382 | 6.8% |
| 1 | 371 | 6.6% |
| 8 | 280 | 5.0% |
| 7 | 256 | 4.5% |
| 9 | 239 | 4.2% |
| 10 | 194 | 3.4% |
| Other values (5) | 102 | 1.8% |
| Value | Count | Frequency (%) |
| 1 | 371 | 6.6% |
| 2 | 1369 | |
| 3 | 1278 | |
| 4 | 588 | |
| 5 | 571 | |
| 6 | 382 | 6.8% |
| 7 | 256 | 4.5% |
| 8 | 280 | 5.0% |
| 9 | 239 | 4.2% |
| 10 | 194 | 3.4% |
| Value | Count | Frequency (%) |
| 22 | 1 | < 0.1% |
| 21 | 1 | < 0.1% |
| 20 | 1 | < 0.1% |
| 19 | 1 | < 0.1% |
| 11 | 98 | 1.7% |
| 10 | 194 | |
| 9 | 239 | |
| 8 | 280 | |
| 7 | 256 | |
| 6 | 382 |
Complain
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 44.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 4026 | |
| 1 | 1604 | 28.5% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 4026 | |
| 1 | 1604 | 28.5% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 265 |
| Missing (%) | 4.7% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 15.70792171 |
| Minimum | 11 |
|---|---|
| Maximum | 26 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 11 |
|---|---|
| 5-th percentile | 11 |
| Q1 | 13 |
| median | 15 |
| Q3 | 18 |
| 95-th percentile | 23 |
| Maximum | 26 |
| Range | 15 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.675485463 |
|---|---|
| Coefficient of variation (CV) | 0.2339892908 |
| Kurtosis | -0.2803811889 |
| Mean | 15.70792171 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.7907853591 |
| Sum | 84273 |
| Variance | 13.50919339 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 14 | 750 | |
| 13 | 741 | |
| 12 | 728 | |
| 15 | 542 | |
| 11 | 391 | |
| 16 | 333 | |
| 18 | 321 | |
| 19 | 311 | |
| 17 | 297 | 5.3% |
| 20 | 243 | 4.3% |
| Other values (6) | 708 | |
| (Missing) | 265 | 4.7% |
| Value | Count | Frequency (%) |
| 11 | 391 | |
| 12 | 728 | |
| 13 | 741 | |
| 14 | 750 | |
| 15 | 542 | |
| 16 | 333 | |
| 17 | 297 | 5.3% |
| 18 | 321 | |
| 19 | 311 | |
| 20 | 243 | 4.3% |
| Value | Count | Frequency (%) |
| 26 | 33 | 0.6% |
| 25 | 73 | 1.3% |
| 24 | 84 | 1.5% |
| 23 | 144 | |
| 22 | 184 | |
| 21 | 190 | |
| 20 | 243 | |
| 19 | 311 | |
| 18 | 321 | |
| 17 | 297 |
CouponUsed
Real number (ℝ≥0)
HIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONHIGH CORRELATIONMISSINGZEROS| Distinct | 17 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 256 |
| Missing (%) | 4.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.751023446 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 1030 |
| Zeros (%) | 18.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 1 |
| Q3 | 2 |
| 95-th percentile | 6 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.894621447 |
|---|---|
| Coefficient of variation (CV) | 1.08200804 |
| Kurtosis | 9.132281171 |
| Mean | 1.751023446 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.545652562 |
| Sum | 9410 |
| Variance | 3.589590428 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=17)
| Value | Count | Frequency (%) |
| 1 | 2105 | |
| 2 | 1283 | |
| 0 | 1030 | |
| 3 | 327 | 5.8% |
| 4 | 197 | 3.5% |
| 5 | 129 | 2.3% |
| 6 | 108 | 1.9% |
| 7 | 89 | 1.6% |
| 8 | 42 | 0.7% |
| 10 | 14 | 0.2% |
| Other values (7) | 50 | 0.9% |
| (Missing) | 256 | 4.5% |
| Value | Count | Frequency (%) |
| 0 | 1030 | |
| 1 | 2105 | |
| 2 | 1283 | |
| 3 | 327 | 5.8% |
| 4 | 197 | 3.5% |
| 5 | 129 | 2.3% |
| 6 | 108 | 1.9% |
| 7 | 89 | 1.6% |
| 8 | 42 | 0.7% |
| 9 | 13 | 0.2% |
| Value | Count | Frequency (%) |
| 16 | 2 | < 0.1% |
| 15 | 1 | < 0.1% |
| 14 | 5 | 0.1% |
| 13 | 8 | 0.1% |
| 12 | 9 | 0.2% |
| 11 | 12 | 0.2% |
| 10 | 14 | 0.2% |
| 9 | 13 | 0.2% |
| 8 | 42 | |
| 7 | 89 |
| Distinct | 16 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 258 |
| Missing (%) | 4.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.008004468 |
| Minimum | 1 |
|---|---|
| Maximum | 16 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 2 |
| Q3 | 3 |
| 95-th percentile | 9 |
| Maximum | 16 |
| Range | 15 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 2.939679548 |
|---|---|
| Coefficient of variation (CV) | 0.9772856323 |
| Kurtosis | 4.718466052 |
| Mean | 3.008004468 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 2.196414108 |
| Sum | 16159 |
| Variance | 8.641715846 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=16)
| Value | Count | Frequency (%) |
| 2 | 2025 | |
| 1 | 1751 | |
| 3 | 371 | 6.6% |
| 7 | 206 | 3.7% |
| 4 | 204 | 3.6% |
| 5 | 181 | 3.2% |
| 8 | 172 | 3.1% |
| 6 | 137 | 2.4% |
| 9 | 62 | 1.1% |
| 12 | 54 | 1.0% |
| Other values (6) | 209 | 3.7% |
| (Missing) | 258 | 4.6% |
| Value | Count | Frequency (%) |
| 1 | 1751 | |
| 2 | 2025 | |
| 3 | 371 | 6.6% |
| 4 | 204 | 3.6% |
| 5 | 181 | 3.2% |
| 6 | 137 | 2.4% |
| 7 | 206 | 3.7% |
| 8 | 172 | 3.1% |
| 9 | 62 | 1.1% |
| 10 | 36 | 0.6% |
| Value | Count | Frequency (%) |
| 16 | 23 | 0.4% |
| 15 | 33 | 0.6% |
| 14 | 36 | 0.6% |
| 13 | 30 | 0.5% |
| 12 | 54 | 1.0% |
| 11 | 51 | 0.9% |
| 10 | 36 | 0.6% |
| 9 | 62 | 1.1% |
| 8 | 172 | |
| 7 | 206 |
| Distinct | 22 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 307 |
| Missing (%) | 5.5% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.543490513 |
| Minimum | 0 |
|---|---|
| Maximum | 46 |
| Zeros | 496 |
| Zeros (%) | 8.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 7 |
| 95-th percentile | 11 |
| Maximum | 46 |
| Range | 46 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.654433197 |
|---|---|
| Coefficient of variation (CV) | 0.8043228409 |
| Kurtosis | 4.023964341 |
| Mean | 4.543490513 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 1.190999503 |
| Sum | 24185 |
| Variance | 13.35488199 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=22)
| Value | Count | Frequency (%) |
| 3 | 900 | |
| 2 | 792 | |
| 1 | 614 | |
| 8 | 538 | |
| 0 | 496 | |
| 7 | 447 | |
| 4 | 431 | |
| 9 | 299 | 5.3% |
| 5 | 228 | 4.0% |
| 10 | 157 | 2.8% |
| Other values (12) | 421 | |
| (Missing) | 307 | 5.5% |
| Value | Count | Frequency (%) |
| 0 | 496 | |
| 1 | 614 | |
| 2 | 792 | |
| 3 | 900 | |
| 4 | 431 | |
| 5 | 228 | 4.0% |
| 6 | 113 | 2.0% |
| 7 | 447 | |
| 8 | 538 | |
| 9 | 299 | 5.3% |
| Value | Count | Frequency (%) |
| 46 | 1 | < 0.1% |
| 31 | 1 | < 0.1% |
| 30 | 1 | < 0.1% |
| 18 | 10 | 0.2% |
| 17 | 17 | 0.3% |
| 16 | 13 | 0.2% |
| 15 | 19 | 0.3% |
| 14 | 35 | |
| 13 | 51 | |
| 12 | 69 |
| Distinct | 2586 |
|---|---|
| Distinct (%) | 45.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 177.2230302 |
| Minimum | 0 |
|---|---|
| Maximum | 324.99 |
| Zeros | 4 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 44.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 123.0335 |
| Q1 | 145.77 |
| median | 163.28 |
| Q3 | 196.3925 |
| 95-th percentile | 291.9385 |
| Maximum | 324.99 |
| Range | 324.99 |
| Interquartile range (IQR) | 50.6225 |
Descriptive statistics
| Standard deviation | 49.20703617 |
|---|---|
| Coefficient of variation (CV) | 0.2776559916 |
| Kurtosis | 0.9745052177 |
| Mean | 177.2230302 |
| Median Absolute Deviation (MAD) | 23.035 |
| Skewness | 1.149845719 |
| Sum | 997765.66 |
| Variance | 2421.332409 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 123.42 | 8 | 0.1% |
| 149.36 | 8 | 0.1% |
| 148.42 | 8 | 0.1% |
| 188.47 | 7 | 0.1% |
| 154.73 | 7 | 0.1% |
| 180.62 | 6 | 0.1% |
| 126.1 | 6 | 0.1% |
| 125.59 | 6 | 0.1% |
| 153.04 | 6 | 0.1% |
| 146.27 | 6 | 0.1% |
| Other values (2576) | 5562 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 12 | 1 | < 0.1% |
| 25 | 4 | |
| 37 | 1 | < 0.1% |
| 56 | 1 | < 0.1% |
| 81 | 1 | < 0.1% |
| 110.09 | 2 | |
| 110.51 | 2 | |
| 110.52 | 2 | |
| 110.81 | 2 |
| Value | Count | Frequency (%) |
| 324.99 | 2 | |
| 324.73 | 2 | |
| 324.43 | 2 | |
| 324.26 | 2 | |
| 323.59 | 2 | |
| 323.47 | 2 | |
| 323.45 | 2 | |
| 323.33 | 2 | |
| 322.4 | 2 | |
| 322.17 | 2 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| CustomerID | Churn | Tenure | PreferredLoginDevice | CityTier | WarehouseToHome | PreferredPaymentMode | Gender | HourSpendOnApp | NumberOfDeviceRegistered | PreferedOrderCat | SatisfactionScore | MaritalStatus | NumberOfAddress | Complain | OrderAmountHikeFromlastYear | CouponUsed | OrderCount | DaySinceLastOrder | CashbackAmount | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 50001 | 1 | 4.0 | Mobile Phone | 3 | 6.0 | Debit Card | Female | 3.0 | 3 | Laptop & Accessory | 2 | Single | 9 | 1 | 11.0 | 1.0 | 1.0 | 5.0 | 159.93 |
| 1 | 50002 | 1 | NaN | Phone | 1 | 8.0 | UPI | Male | 3.0 | 4 | Mobile | 3 | Single | 7 | 1 | 15.0 | 0.0 | 1.0 | 0.0 | 120.90 |
| 2 | 50003 | 1 | NaN | Phone | 1 | 30.0 | Debit Card | Male | 2.0 | 4 | Mobile | 3 | Single | 6 | 1 | 14.0 | 0.0 | 1.0 | 3.0 | 120.28 |
| 3 | 50004 | 1 | 0.0 | Phone | 3 | 15.0 | Debit Card | Male | 2.0 | 4 | Laptop & Accessory | 5 | Single | 8 | 0 | 23.0 | 0.0 | 1.0 | 3.0 | 134.07 |
| 4 | 50005 | 1 | 0.0 | Phone | 1 | 12.0 | CC | Male | NaN | 3 | Mobile | 5 | Single | 3 | 0 | 11.0 | 1.0 | 1.0 | 3.0 | 129.60 |
| 5 | 50006 | 1 | 0.0 | Computer | 1 | 22.0 | Debit Card | Female | 3.0 | 5 | Mobile Phone | 5 | Single | 2 | 1 | 22.0 | 4.0 | 6.0 | 7.0 | 139.19 |
| 6 | 50007 | 1 | NaN | Phone | 3 | 11.0 | Cash on Delivery | Male | 2.0 | 3 | Laptop & Accessory | 2 | Divorced | 4 | 0 | 14.0 | 0.0 | 1.0 | 0.0 | 120.86 |
| 7 | 50008 | 1 | NaN | Phone | 1 | 6.0 | CC | Male | 3.0 | 3 | Mobile | 2 | Divorced | 3 | 1 | 16.0 | 2.0 | 2.0 | 0.0 | 122.93 |
| 8 | 50009 | 1 | 13.0 | Phone | 3 | 9.0 | E wallet | Male | NaN | 4 | Mobile | 3 | Divorced | 2 | 1 | 14.0 | 0.0 | 1.0 | 2.0 | 126.83 |
| 9 | 50010 | 1 | NaN | Phone | 1 | 31.0 | Debit Card | Male | 2.0 | 5 | Mobile | 3 | Single | 2 | 0 | 12.0 | 1.0 | 1.0 | 1.0 | 122.93 |
Last rows
| CustomerID | Churn | Tenure | PreferredLoginDevice | CityTier | WarehouseToHome | PreferredPaymentMode | Gender | HourSpendOnApp | NumberOfDeviceRegistered | PreferedOrderCat | SatisfactionScore | MaritalStatus | NumberOfAddress | Complain | OrderAmountHikeFromlastYear | CouponUsed | OrderCount | DaySinceLastOrder | CashbackAmount | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 5620 | 55621 | 0 | 3.0 | Mobile Phone | 1 | 35.0 | Credit Card | Female | 4.0 | 5 | Mobile Phone | 5 | Single | 3 | 0 | 15.0 | 1.0 | 2.0 | 5.0 | 162.85 |
| 5621 | 55622 | 1 | 14.0 | Mobile Phone | 3 | 35.0 | E wallet | Male | 3.0 | 5 | Fashion | 5 | Married | 6 | 1 | 14.0 | 3.0 | NaN | 1.0 | 233.54 |
| 5622 | 55623 | 0 | 13.0 | Mobile Phone | 3 | 31.0 | E wallet | Female | 3.0 | 5 | Grocery | 1 | Married | 2 | 0 | 12.0 | 4.0 | NaN | 7.0 | 245.31 |
| 5623 | 55624 | 0 | 5.0 | Computer | 1 | 12.0 | Credit Card | Male | 4.0 | 4 | Laptop & Accessory | 5 | Single | 2 | 0 | 20.0 | 2.0 | 2.0 | NaN | 224.36 |
| 5624 | 55625 | 0 | 1.0 | Mobile Phone | 3 | 12.0 | UPI | Female | 2.0 | 5 | Mobile Phone | 3 | Single | 2 | 0 | 19.0 | 2.0 | 2.0 | 1.0 | 154.66 |
| 5625 | 55626 | 0 | 10.0 | Computer | 1 | 30.0 | Credit Card | Male | 3.0 | 2 | Laptop & Accessory | 1 | Married | 6 | 0 | 18.0 | 1.0 | 2.0 | 4.0 | 150.71 |
| 5626 | 55627 | 0 | 13.0 | Mobile Phone | 1 | 13.0 | Credit Card | Male | 3.0 | 5 | Fashion | 5 | Married | 6 | 0 | 16.0 | 1.0 | 2.0 | NaN | 224.91 |
| 5627 | 55628 | 0 | 1.0 | Mobile Phone | 1 | 11.0 | Debit Card | Male | 3.0 | 2 | Laptop & Accessory | 4 | Married | 3 | 1 | 21.0 | 1.0 | 2.0 | 4.0 | 186.42 |
| 5628 | 55629 | 0 | 23.0 | Computer | 3 | 9.0 | Credit Card | Male | 4.0 | 5 | Laptop & Accessory | 4 | Married | 4 | 0 | 15.0 | 2.0 | 2.0 | 9.0 | 178.90 |
| 5629 | 55630 | 0 | 8.0 | Mobile Phone | 1 | 15.0 | Credit Card | Male | 3.0 | 2 | Laptop & Accessory | 3 | Married | 4 | 0 | 13.0 | 2.0 | 2.0 | 3.0 | 169.04 |